Published online for the first time, consider this KQRNP vs kpppp chess problem generated by the program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. There is no known limit to the quantity or type of compositions that can be generated. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 10 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Mate in 4
Chesthetica v12.01 (Selangor, Malaysia)
Generated on 2 Dec 2020 at 6:22:01 PM
Even with the same version number, each copy of Chesthetica 'evolves' and performs somewhat differently over time. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. The position appears fairly cluttered. If this one is too easy or too difficult for you, try out some of the others. Take some time to study the analysis and you might appreciate the puzzle a little more. If you're bored of standard chess, though, why not try this?
Solution
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